Lorrie Faith Cranor
where else to find them
linkedin:lorriecranor
what they talk about
all 6 in the filters
where they keep going back
- SOUPS4 editions2020–2025
all 7 in the filters
on a stage with
all 46 in the filters
who talks about the same things
- Lujo Bauer12 talks
- Jason Hong3 talks
- Blase Ur16 talks
- Emilee Rader8 talks
- Elissa M. Redmiles5 talks
| title | conference | date |
|---|---|---|
| User (Non-)Compliance with Age Verification: Evidence from a Deceptive Web Experiment | PEPR '26 | 2026-06-01 |
A deceptive web experiment with 1,635 participants tests five verification methods via an AgeGuardian iframe prototype and simulated camera and ID flows… | ||
| Design and Evaluation of Privacy-Preserving Protocols for Agent-Facilitated Mobile... | SOUPS 2025 | 2025-08-10 |
Design replaces agent-facing KYC with server-side verification that uses biometric and voice authentication for phones, issues short codes to agents, and… | ||
| UsersFirst: A User-Centric Threat Modeling Framework for Privacy Notice and Choice | PEPR '25 | 2025-06-09 |
UsersFirst is a threat-modeling framework that breaks notice-and-choice failures into four actionable categories—discovery and use, comprehension problems… | ||
| Exploring Expandable-Grid Designs to Make iOS App Privacy Labels More Usable | SOUPS 2024 | 2024-08-11 |
A color‑coded, expandable grid replaces iOS privacy labels, implemented as interactive web pages with JavaScript logging and tested with 200 Prolific iPhone… | ||
| Reflecting on Twenty Years of Usable Privacy and Security | SOUPS 2024 | 2024-08-11 |
Community builds a usable-security discipline, compiles a 90-page literature review turned book, and extracts concrete lessons: browser security warnings… | ||
| "It was honestly just gambling": Investigating the Experiences of Teenage | SOUPS 2024 | 2024-08-11 |
Multi-stage inductive content analysis of 1,676 Reddit posts identifies 1,409 posts (84%) meaningfully about crypto, with discussions peaking in 2021–22 after… | ||
| Session 1 | The 4th Annual Data Privacy Conference USA | 2022-09-14 |
Panel covers the FTC’s active 95-question ANPR exploring bright‑line rules under the Magnuson‑Moss process, explains that prevalence thresholds are undecided… | ||
| Evaluating the Usability of Privacy Choice Mechanisms | SOUPS 2022 | 2022-08-07 |
A practical framework defines seven aspects of privacy-choice usability and maps concrete evaluation methods — surveys, task-based user studies, and expert… | ||
| Detecting iPhone Security Compromise in Simulated Stalking Scenarios: Strategies and... | SOUPS 2022 | 2022-08-07 |
Study runs 18 remote semi-structured interviews using four simulated iPhone compromise scenarios (location sharing, suspected spyware, iCloud compromise… | ||
| Is it a concern or a preference? An investigation into the ability of privacy scales... | SOUPS 2022 | 2022-08-07 |
400 Prolific US participants each rate statements (each statement seen by ≥40 people) drawn from common privacy scales and 39 newly written items, and results… | ||
| Informing the Design of Cookie Consent Interfaces with Research | PEPR '22 | 2022-06-23 |
Research tests 12–14 banner variants on a mock ecommerce site with 1,100 participants and audits of 191 real sites (150 show unequal paths). Interfaces that… | ||
| From Intent to Action: Nudging Users Towards Secure Mobile Payments | SOUPS 2020 | 2020-08-10 |
Mixed-methods study tests two nudges — a protection motivation theory nudge and a combined PMT + implementation intention plan — with 20 interviews and a… | ||
| Design and Evaluation of a Data-Driven Password Meter | CHI 2017 | 2017-05-06 |
A client-side password meter combines compact neural networks to estimate guessability with a regression-weighted set of 21 characteristics that generate… | ||
| Can Unicorns Help Users Compare Crypto Key Fingerprints? | CHI 2017 | 2017-05-06 |
A 661-participant online experiment compares eight fingerprint representations and two modes under a simulated 2^60 attacker and finds big differences: textual… | ||
| Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks | USENIX Security '16 | 2016-08-10 |
Neural networks generate password guesses that beat PCFGs and Markov models, often improving success by roughly 50% at high guess counts (e.g., 15%→22% at… | ||
| nothing matches | ||